Edoxi’s AWS Data Engineer-Associate (DEA-C01) course is designed to equip you with the practical skills needed to build scalable, secure, and high-performance data pipelines in the AWS cloud. This AWS Data Engineer-Associate (DEA-C01) training provides an industry-aligned learning path for IT professionals, data engineers, and organisations seeking to modernise their data systems and adopt cloud-native architectures.
Through hands-on AWS labs, the AWS Data Engineer-Associate (DEA-C01) certification programme covers the full lifecycle of cloud data engineering. You learn to work with Amazon Kinesis for real-time data ingestion and AWS Glue for ETL automation. The course also includes Amazon Redshift for warehousing, Amazon S3 and EMR for large-scale data processing. Training extends to workflow automation using Lambda and Step Functions. You also explore analytics and visualisation with Athena and QuickSight, enabling you to build end-to-end, production-ready data solutions.
By completing Edoxi’s AWS Data Engineer-Associate (DEA-C01) course in Dubai, you gain the expertise to design secure data architectures and optimise cloud pipelines. You also prepare confidently for the certification exam. This AWS Data Engineer-Associate (DEA-C01) training in Dubai empowers professionals and corporate teams to strengthen data-driven decision-making, accelerate cloud transformation, and advance their careers in one of today’s fastest-growing technology domains.
Here are the AWS Data Engineer-Associate Exam details.
Exam Details:
| Exam Criteria | Details |
| Exam Code | DEA-C01 |
| Exam Name | AWS Certified Data Engineer Associate |
| Duration | 130 Minutes |
| Number of Questions | 65, Multiple Choice |
| Passing Score | 720/100 |
| Fees | $150 |
| Certification Validity | 3 Years |
| Recertification | Required Every 3 Years |
| Exam Administration Authority | Pearson VUE |
You can practice with authentic AWS services through dedicated lab subscriptions, providing hands-on experience with the complete AWS data ecosystem.
You get detailed student guides, courseware, and PDF resources covering Glue Crawlers, PySpark/Scala, Redshift Spectrum and other core data engineering tools.
You can participate in presentations and collaborative problem-solving sessions that simulate real-world data engineering scenarios.
You can complete projects across the data pipeline spectrum with documented screenshots to build your portfolio of AWS implementations.
You can work with core AWS services, including Kinesis, Glue, Redshift, EMR, and Lambda, that form the backbone of modern data architectures.
You can prepare for certification success, as the course content directly aligns with the AWS Certified Data Engineer-Associate exam Y(DEA-C01) objectives.
If you are a professional working with data who wants to expand your skillset to include cloud-based data pipeline development and management on AWS.
If you are a developer with experience in data transformation processes, looking to transition your skills to AWS cloud-native solutions.
If you are a technology specialist with a strong foundation in database concepts and SQL who wants to specialise in modern data architecture.
If you are an ML specialist seeking to understand the data engineering foundations that support effective machine learning pipelines.
If you are a technical professional with cloud experience wanting to specialise in the high-demand field of data engineering.
If you are a technology professional looking to move into the rapidly growing field of cloud data engineering with AWS expertise.
Edoxi’s 40-hour AWS Data Engineering course includes comprehensive hands-on lab exercises that help you apply real-world data engineering skills. These include:
You can create an Amazon Kinesis Data Streams-based system. Through this, you can capture, process, and analyse real-time data from multiple sources for immediate insights.
You can schedule AWS Lambda functions using EventBridge. This helps you implement automated, serverless data processing workflows that operate on predefined schedules.
You can discover sensitive information using Amazon Macie. You can also implement data protection for S3 and EBS volumes using AWS KMS encryption services.
You can conduct data extraction, transformation, and loading tasks in AWS Glue, utilising Amazon S3 as a source and destination for processed datasets.
You can build an Amazon Redshift data warehouse with an appropriate schema design. This includes security implementation for database credentials and monitoring.
You can set up an Amazon EMR cluster and launch Spark jobs. This helps to process large-scale datasets using distributed computing frameworks for efficient analysis.
Edoxi’s 40-hour AWS Data Engineering-Associate certification course equips you with essential, industry-ready skills for a successful career in cloud and data engineering. The major outcomes after completing our course are:
Get expert assistance in getting your AWS Data Engineer-Associate (DEA-C01) Course customised!
Here’s a four-step guide to becoming a certified AWS Data Engineer-Associate (DEA-C01) professional.
Join Edoxi’s AWS Data Engineer-Associate (DEA-C01) Course
Edoxi’s 40-hour AWS Data Engineering-Associate corporate training equips you with practical AWS expertise, industry-aligned skills, and real-world cloud engineering insights. Here are the major reasons to choose Edoxi:
You receive training aligned with official AWS best practices, combined with real-world industry scenarios. This ensures you build skills that can be immediately applied in your workplace.
You learn directly from AWS-certified trainers who bring extensive hands-on experience in data engineering implementations. Their practical insights help you understand how AWS works in real enterprise environments.
With structured guidance, hands-on labs, and focused exam preparation, you gain the confidence and competence needed to successfully pass the AWS certification exam.
You benefit from Edoxi’s strong track record of delivering AWS and Azure training to government organisations, private firms, and major enterprises across Africa and the Middle East.
Edoxi’s AWS Data Engineer-Associate course helps you progress smoothly into other AWS specialisations, giving you a structured and continuous cloud learning pathway for long-term career development.
You join a learning community supported by Edoxi’s strong presence across GCC nations, including the UAE, Saudi Arabia, Qatar, and Oman, with successful training delivered even across European regions.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
Manish Rajpal
Manish is a passionate Corporate Trainer, AI Consultant, and Cloud Solutions Architect. He empowers clients across the globe to build and maintain highly available, resilient, scalable, and secure solutions, now with a growing emphasis on AI-powered architectures. With over 15,000 professionals trained, Manish specialises in technologies including Amazon Web Services, Microsoft Azure, Microsoft Copilot and GitHub Copilot and increasingly, AI and Machine Learning.
Manish has led research and workshops focused on integrating AI into cloud environments, exploring use cases like intelligent automation, natural language processing, and responsible AI practices.
DEA-C01 refers to the AWS Certified Data Engineer – Associate exam. It’s designed for professionals like you who design, build, manage, and secure data pipelines on AWS.
Once you complete DEA-C01, you can advance into specialised certifications such as:
No. They complement each other. DEA-C01 helps you master data engineering pipelines, while DAS-C01 strengthens your skills in analytics, reporting, and business intelligence.
Edoxi’s AWS Data Engineer-Associate (DEA-C01) Course aligns directly with the official exam blueprint. Through hands-on labs, guided practice, and real AWS scenarios, you gain both the theoretical clarity and practical expertise needed to confidently clear the certification.
As a Data Engineer, you build and maintain the data pipelines, storage systems, and infrastructure that enable data processing at scale. A Data Scientist focuses on analytics, statistics, and machine learning models. In simple terms, you create the environment; they extract insights from it.
The course includes 40 hours of training, usually delivered over 5 days for corporate teams. If you're an individual learner, Edoxi provides flexible schedules, including evening and weekend batches, so you can balance learning with work.
Yes. You receive access to an AWS Lab subscription, giving you the chance to work directly with Amazon Kinesis, AWS Glue, Amazon Redshift, and other key data engineering tools as you build actual pipelines and solutions.
Absolutely. Edoxi designs custom corporate training programs tailored to your organisation’s goals, existing AWS environment, and industry use cases. Training is available both in-person and virtually.
You get hands-on practice with a wide range of data services, including:
And several others are essential for building modern AWS data pipelines.
The mandatory prerequisites for enrolling in the AWS Data Engineer-Associate Certification course are:
As a data engineer in Dubai, you can expect an average salary ranging from AED 14,000 to AED 30,000 per month, depending on your experience, skills, and the company you join. Earning a recognised certification like the AWS Data Engineer-Associate enhances your chances of reaching the higher end of this range.
